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741,830 tools. Updated 2026-11-04 09:25

"A search for images" matching MCP tools:

  • Upload a base64-encoded file to a site's container. Use this for binary files (images, archives, fonts, etc.). For text files, prefer write_file(). Requires: API key with write scope. Args: slug: Site identifier path: Relative path including filename (e.g. "images/logo.png") content_b64: Base64-encoded file content Returns: {"success": true, "path": "images/logo.png", "size": 45678} Errors: VALIDATION_ERROR: Invalid base64 encoding FORBIDDEN: Protected system path
    ConnectorNo auth
  • Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs.
    ConnectorNo auth
  • Check whether still images of a project show the SAME character as its character sheet — before paid clips are made from them. Each image is compared against the sheet's detail and fullbody views. It judges identity (species, build, colouring, head shape, large markings), NOT style, light, pose, place or props — and deliberately NOT micro details like an ear notch or the number of fingers, which no image model holds reliably. Free. Runs in the BACKGROUND: returns a `job_id` with HTTP 202 — poll it with lab_get_job until status is done|failed; the result lists per image passt, sicherheit, abweichungen, begruendung (or error). Up to 16 images and frames together per call. Images must be completed images of this project (imported images are refused). To check frames of a GENERATED CLIP (an orbit turnaround, a lab_animate clip) pass clip_frames: the clip's video_id and the seconds to cut out — the frames are taken from the clip itself and compared the same way; a second beyond the clip's end fails only that frame. The sheet needs a reference image (lab_generate_character_reference).
    ConnectorOAuth
  • Add and/or remove photos on one of the USER'S OWN existing listings (max 6 total). First call request_image_upload for each new image and upload the bytes, then pass the returned keys in `add`; a key with no uploaded file fails with image_not_uploaded. Adding any image re-triggers AI moderation — the listing returns to 'pending' until the new images are cleared. Removing images leaves a live listing live; on a pending or rejected listing it requests a new moderation verdict. Free (no credit).
    ConnectorNo auth
  • Retrieve detailed product information for dm-drogeriemarkt products. USE WHEN: ingredients, nutrition facts, allergens, usage instructions, warnings, hazard info, product URLs/images INPUT: DANs (7 digits, preferred) and/or GTINs (8-14 digits) multiple products can be requested at once min 1 / max 50. Use search tool first if only product name is known. OUTPUT: TOON format (compact YAML-like). Fields: name, brand, description, ingredients, nutrition, allergens, usage, warnings, URLs, images. found=false for unresolved IDs. NOT FOR: prices, availability, stock, reviews, recommendations ERRORS: validation error if >50 or no identifiers
    ConnectorNo auth
  • Generate an empty background plate for one short shot. Both reference inputs steer what the plate itself looks like — layout, prop identity, materials and lighting — and are unrelated to upload_shot_continuity_reference, which guides clip generation instead. Use reference_image_asset_ids for images already in this project (find them with get_asset_library) and reference_images_base64 to send bytes you produced locally, for example a frame lifted from an earlier scene so a prop matches what is already on screen. Uploaded bytes are used for this one generation and are not kept as project assets. The location's own reference images are always included on top of both. Spends credits. Returns a job id — poll it with get_job.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    C
    maintenance
    这是面向智能运维场景的 MCP 工具服务,让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程,从而支撑自动故障排查与根因分析。
    3
    MIT

Matching MCP Connectors

  • Create a complete Google Ads Performance Max campaign in ONE atomic request: budget, campaign (ALWAYS created PAUSED — activate later with adsap_google_set_entity_status), location/language targeting, and one asset group with text assets plus images previously created via adsap_google_upload_asset. Use dry_run: true first — Google validates the whole chain without creating anything; show the plan, get confirmation, then execute. Asset-group minimums (enforced): 3-15 headlines (<=30 chars), 1-5 long headlines (<=90), 2-5 descriptions (<=90, at least one <=60), business name (<=25), 1-5 logo images (1:1, min 128x128), 1-20 landscape images (1.91:1, min 600x314), 1-20 square images (1:1, min 300x300). Video is optional — without one, Google may auto-generate video from your assets. bidding_strategy 'auto' resolves to maximize_conversions with a conversion-tracking preflight warning when the account has no conversion actions. retail: true attaches the account's ACTIVE Merchant Center link (fails cleanly if none). ad_account_id is the bare 10-digit customer ID. For Search campaigns use adsap_google_create_search_campaign; for Meta use adsap_create_campaign.
    ConnectorAPI key
  • Full-text search inside JournalEntry compendium packs — page NAMES and page CONTENT. The tool for rules/lore text ("what does grappled say?" → query "grappled", pageTypes ["rule"]; class write-ups, spell lists): compendium-search sees only document names. Requires bridge module 8.11.0+. Each match carries the PAGE uuid — pass it to uuid-resolve for the full text. matchedIn tells what matched: name matches win (content not scanned, snippet null); content matches carry a ~200-char snippet. Query is a case-insensitive substring; packs are scanned in order until limit, results unsorted.
    ConnectorAPI key
  • The account's images, newest first: uploads, images found by page scans, and re-runs. Filter by status, by source (upload or scan) or by one scan's id, which is how a page scan's images are read once get_scan says they are done. An image with responsive sizes carries only their status here; get_image has their links. Pages of up to 50; ask for the next page while page is below last_page. For one image whose id you already have, call get_image instead.
    ConnectorAPI key
  • Use this when the user asks how visible their product results are in Google web Search, and which product pages carry them. Search Console performance for one search appearance, defaulting to MERCHANT_LISTINGS: the appearance inventory of the property, a daily clicks / impressions / CTR / position timeline in date order, and the top pages (product URLs) behind it; appearances and pages are sorted by clicks, highest first, and CTR is a 0-100 percentage. Search Console merchant listings counts enriched product results in web Search only, so it does not reconcile to one figure with Merchant Center free listings. Not for the Shopping tab, Images, Lens, YouTube or Maps: use get_organic_shopping_performance. Always served from the live Search Console API: search appearance is never stored in the GSC Wizard warehouse, and it can be filtered on but never grouped with another dimension. `hasAppearance` is false when the property has no rows for the requested appearance, and `emptyBecause` is set whenever it has no impressions, which is normal for non-ecommerce sites. The window may span at most 16 months (Search Console retention); a longer one is rejected with bad_request. Date range is optional: omit startDate/endDate to analyze the last 28 settled days (data lags ~2-3 days).
    ConnectorOAuth
  • Generate images from text prompts. Returns a hosted URL of the image and the same image as base64 (b64_json), with its content_type (image/png or image/jpeg, as the bytes are), the aspect ratio and the size used. Use to create a new picture from a description. To cut the background out of an existing image use bg-remove; to capture a web page use screenshot. Cost: 512px 1 credit, 1K 2 credits, 2K 3 credits, 4K 5 credits, charged only when a call succeeds.
    ConnectorNo auth
  • Set the images an entry shows after its lead image: the whole ordered list of media ids (from media_catalog or get_entry), replacing the gallery; [] empties it. At most 5 (6 images in all with the lead), each once, never the lead itself (set_entry_image sets that). An image taken off loses its link; `links` sets or clears the link of an image in the list (needs Link images). A live edit, audited. Dry run by default. To ask a reviewer instead, use propose_entry_change.
    Connector
    Destructive
    OAuth
  • Bring Midjourney exports into a project (FilmLab calls this 'Umzug'). Midjourney has no API, so the person downloads their images or ZIP and this tool carries them on. Give EXACTLY ONE of: `dateien` (names/types/sizes of local files → signed PUT addresses with a ready curl line; PUT the raw bytes, then call again with `quellen` from `weiter`), `quellen` (after the PUT: starts the import job → job_id; poll lab_get_job — result.bildzeilen lists image_id and datei per image (the prompt per image comes with `bilder: true`), result.gesperrt names refused images with the reason, result.ungeprueft images whose check was unreachable), `prompts` (pasted Midjourney prompts, one per line → parameters split and what does not carry over, e.g. --sref codes; free, no job), `anker` ({name, image_ids ≤ 12} → a look anchor for lab_generate's anker_id; images of real people are refused) or `bilder: true` (the project's imported images with image_id and prompt). Every imported image is declared AI material (EU AI Act Art. 50) — no herkunft question. An image_id works directly in lab_animate (source_image_id), as a seed in lab_generate and in lab_referenz_aus_bild. Uploading is free.
    ConnectorOAuth
  • List a company's bank statement transactions, newest first, paged, with totalCount. Each has acDocumentId, date, amount, currency, movement, bank account, title, description and status (documentRequired while it needs a document or coding). Pass acDocumentId as transactionId to get-transaction-conversation, add-transaction-comment or list-transaction-cashcoding-recommendations. It has no text search; dateFrom and dateTo are inclusive. For ledger entries in every account, use search-accounting-transactions.
    ConnectorOAuth
  • Images in this workspace (photos, logos, product shots), newest first, or those whose file name contains `search` or that are in a `collection`, with a numbered preview sheet to see them. Without filters the reply also names the workspace's collections: when the user says where their images are ("the Diwali photos"), look in that collection. Each image comes with its `image` key, the key a design places it by, its `asset_id`, the id the same image has in batch rows, and its name and pixel size; a cut-out (transparent margins) also gets `visible_box` [x, y, w, h], where its subject sits in image px, to place and crop it by. The preview sheet is one numbered picture of the results; image bytes are not returned. Read-only. Use it to find images already in the workspace; to bring in the user's own files use upload_images. Place one with create_layers `type: "image"` (or `image` in a fill) and name the layer by role ("Product photo").
    ConnectorOAuth
  • Use this when the signed-in user asks to inspect one exact listing by id, including private notes, images, linked cultivar data, and up to 100 list memberships. If listsNextCursor is present, call daylily.list_lists with listingId and that cursor for the remaining memberships. If imagesHasMore is true, call daylily.list_images for the full image set. Do not use this for search or list expansion when daylily.list_listings can return the needed records in one paginated call. Requires OAuth.
    ConnectorNo auth
  • Add and/or remove photos on one of the USER'S OWN existing listings (max 6 total). First call request_image_upload for each new image and upload the bytes, then pass the returned keys in `add`; a key with no uploaded file fails with image_not_uploaded. Adding any image re-triggers AI moderation — the listing returns to 'pending' until the new images are cleared. Removing images leaves a live listing live; on a pending or rejected listing it requests a new moderation verdict. Free (no credit).
    ConnectorNo auth
  • Get the full record for a single product by its numeric ID. Use after `search_products` returns a candidate the user is interested in, when you need fields not in the search summary (full description, all images, sold status, expiration). Don't loop `get_product` over many search results — re-search with tighter filters instead. Read-only. No authentication. Args: product_id: Integer `id` from a `search_products` result, or visible in a Partle product page URL (`/p/<id>-<slug>`). Returns: A single product object with all fields, including the canonical `partle_url` to share with the user. Returns ``{"error": ...}`` if the ID does not exist.
    ConnectorNo auth
  • Get the full record for a single product by its numeric ID. Use after `search_products` returns a candidate the user is interested in, when you need fields not in the search summary (full description, all images, sold status, expiration). Don't loop `get_product` over many search results — re-search with tighter filters instead. Read-only. No authentication. Args: product_id: Integer `id` from a `search_products` result, or visible in a Partle product page URL (`/p/<id>-<slug>`). Returns: A single product object with all fields, including the canonical `partle_url` to share with the user. Returns ``{"error": ...}`` if the ID does not exist.
    ConnectorNo auth
  • Search 200,000+ historical illustrations, emblems, engravings, diagrams, AND 24,000+ artworks (paintings, prints, sculptures). Filter by type, subject, figure, symbol, year. Results interleave two collections: illustrations extracted from book pages (each with a page number and book link) and standalone museum artworks (type: "artwork"). The first few results also return as inline images YOU can see. Hosts that support MCP Apps render an in-chat image gallery for this tool automatically; on other clients images may sit inside the collapsed tool-result view, so never tell the user images are "rendered above" unless the gallery appeared — describe what you see and give each image's url link instead. Every image_url is public and stable — an HTML page that references them directly works in any online browser. If images.length is 0, read the note field — an empty result under a book_id filter means that book has no EXTRACTED images yet, not that the physical book has no plates. A broad query can match tens of thousands (read total): narrow with type/subject/symbol (exact tag strings; look them up with list_image_facets) or page with offset instead of raising limit. On museum-artwork results, a title_is_descriptive flag means the title is an AI description of the picture rather than a title the work was published under — cite such a record by its source_record_title, never by the descriptive one (#4288).
    ConnectorNo auth
  • Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.
    ConnectorNo auth